Melissa Li

1.8k citations
13 papers · 1.3k indexed · 1 hit paper · h-index 10

Impact in

Papers in

Melissa Li

13 papers receiving 1.3k citations

Hit Papers

Bone Morphogenetic Protein (BMP) signaling in development and human diseases 2014 · 734 citations
7342014202620182022200400600

Peers

Melissa Li
Comparison fields: 5 of 112
  • Cancer Research 154
  • Radiology, Nuclear Medicine and Imaging 216
  • Pulmonary and Respiratory Medicine 277
  • Molecular Biology 571
  • Urology 53
Replace Kiek Verrijp with:
Kiek Verrijp Netherlands
Mohamad Azhar United States
Christopher Major United States
Riccardo Rodriguez y Baena Italy
Claudia Müller Germany
Khalid S. Mohammad United States
Cécile Duplàa France
Thomas Fink Germany
Linda Fredriksson Sweden
Ken-ichi Iyama Japan
Melissa Li relative to Kiek Verrijp Netherlands Kiek Verrijp's profile →
Citations per field
00.5×3.1×
Kiek Verrijp · 1×
Citations per year

Countries citing papers authored by Melissa Li

Since Specialization
Citations

This map shows the geographic impact of Melissa Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Melissa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Li more than expected).

Fields of papers citing papers by Melissa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melissa Li. The network helps show where Melissa Li may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Melissa Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa Li Line = papers co-authored together Melissa Li links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20241
2 20241
3 202154
4 201943
5 201918
6 201513
7 20143
8
Bone Morphogenetic Protein (BMP) signaling in development and human diseases
Hit paper breakdown →
2014734
9 201474
10 201040
11 200413
12 200311
13
Lung cancer proliferation correlates with [F-18]fluorodeoxyglucose uptake by positron emission tomography.
2000305

About Melissa Li

Melissa Li is a scholar working on Business and International Management, Internal Medicine, Geriatrics and Gerontology, Cancer Research and Hepatology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Virus-based gene therapy research (1 paper), Medical Imaging Techniques and Applications (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (154 citations), Radiology, Nuclear Medicine and Imaging (216 citations), Pulmonary and Respiratory Medicine (277 citations), Molecular Biology (571 citations) and Urology (53 citations). Melissa Li has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Rodney A. Schmidt, Hubert Vesselle, Douglas E. Wood, Eric Vallières, S.G. Kohlmyer, Rex C. Haydon, Sahitya K. Denduluri, Zhengjian Yan, Lewis L. Shi and Jordan J. Green. Their work appears in journals such as Genes & Diseases, PLoS ONE, Cancers, Autonomic Neuroscience and Applied immunohistochemistry & molecular morphology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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